A two-dimensional framework of multiple kernel subspace learning for recognizing emotion in speech

Keyphrases

• Emotional Speech 100%
• Multiple Kernels 100%
• Two-dimensional Framework 100%
• Kernel Subspace Learning 100%
• Multiple Kernel Learning 66%
• Speech Emotion Recognition 66%
• Subspace Learning 33%
• Kernel Discriminant Analysis 33%
• Dimensionality Reduction 16%
• Two Dimensional 16%
• Linear Combination 16%
• Highly Active 16%
• Learning Procedure 16%
• Graph Embedding 16%
• Conventional Learning 16%
• Emotional Factors 16%
• Effective Information 16%
• Unified Structure 16%
• Emotional Corpora 16%
• Computational Paralinguistics 16%
• Discriminant Embedding 16%
• Nonnegative Constraint 16%

Computer Science

• Multiple Kernel Learning 100%
• Speech Emotion Recognition 100%
• Discriminant Analysis 50%
• Dimensionality Reduction 25%
• Effective Information 25%
• Linear Combination 25%
• Experimental Result 25%
• Dimensional Subspace 25%